Comparing the Interpretability of Deep Networks via Network Dissection

Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba 0001. Comparing the Interpretability of Deep Networks via Network Dissection. In Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Müller, editors, Explainable AI: Interpreting, Explaining and Visualizing Deep Learning. Volume 11700 of Lecture Notes in Computer Science, pages 243-252, Springer, 2019. [doi]

Abstract

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